Yu Jin Lee
- Molecular Biology top 10%
- Cancer Research top 10%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Oncology
- Co-authors
- Kyeong Jin ShinHo Jae HanYoung Chan ChaeNam Joon LeeEun-Young KangKyeong Ah KimYu‐Whan OhHwan Seok Yong
- Topics
- Enzyme Catalysis and Immobilization (5 papers)PI3K/AKT/mTOR signaling in cancer (4 papers)Lipid metabolism and biosynthesis (3 papers)
- Journals
- Journal of Biological ChemistryThe FASEB JournalBiochemical and Biophysical Research Communications
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Yu Jin Lee
34 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 786
- Cancer Research 289
- Surgery 197
- Endocrinology, Diabetes and Metabolism 151
- Oncology 143
Countries citing papers authored by Yu Jin Lee
This map shows the geographic impact of Yu Jin Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yu Jin Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Jin Lee more than expected).
Fields of papers citing papers by Yu Jin Lee
This network shows the impact of papers produced by Yu Jin Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yu Jin Lee. The network helps show where Yu Jin Lee may publish in the future.
Co-authorship network of co-authors of Yu Jin Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Jin Lee. A scholar is included among the top collaborators of Yu Jin Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu Jin Lee. Yu Jin Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Regulation of cargo selection in exosome biogenesis and its biomedical applications in cancerbreakdown → | 170 |
| 3 | 2 | |
| 4 | 8 | |
| 5 | GPR143 controls ESCRT-dependent exosome biogenesis and promotes cancer metastasisbreakdown → | 97 |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 50 | |
| 10 | 10 | |
| 11 | 21 | |
| 12 | 52 | |
| 13 | 38 | |
| 14 | 25 | |
| 15 | 20 | |
| 16 | 131 | |
| 17 | 13 | |
| 18 | 8 | |
| 19 | 37 | |
| 20 | 31 |
About Yu Jin Lee
Yu Jin Lee is a scholar working on Biochemistry, Filtration and Separation and Molecular Biology, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Cancer Research (289 citations), Molecular Biology (786 citations) and Endocrinology, Diabetes and Metabolism (151 citations). Yu Jin Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Kyeong Jin Shin, Ho Jae Han, Young Chan Chae, Nam Joon Lee, Eun-Young Kang, Kyeong Ah Kim, Yu‐Whan Oh, Hwan Seok Yong, Ki Yeol Lee and Pann‐Ghill Suh. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal and Biochemical and Biophysical Research Communications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.